A curated list of the most important GitHub repos that cover the AI & ML landscape. If you like to add or update projects, feel free to open an issue, or submit a pull request. Contributions are very welcome!

• Natural Language Processing (NLP)
• Large Language Models(LLM)
• Computer Vision
• Data Science
• Machine Learning
• Machine Learning Engineerings Operations (MLOps)
• Data Engineering

• nlp-tutorial: nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch. Most of the models in NLP were implemented with less than 100 lines of code.

• Open LLMs: List of LLMs that are all licensed for commercial
• Awesome-LLM: Curated list of papers about large language models, especially relating to ChatGPT
• awesome-decentralized-llm: Collection of LLM resources that can be used to build products you can "own" or to perform reproducible research
• LangChain:Building applications with LLMs through composability

• Computer Vision Tutorials by Roboflow
• Transformer in Vision :paper list of some recent Transformer-based CV works

• Data Science for Beginners - A Curriculum
• freeCodeCamp.org's open-source codebase and curriculum
• List of Data Science/Big Data Resources
• Open Source Society University: Path to a free self-taught Education in Data Science
• AWESOME DATA SCIENCE: An open-source Data Science repository to learn and apply towards solving real-world problems.
• Data Science ALL CHEAT SHEET
• Data Science End-to-End Projects
• Data Science Interview Resources
• Data-Science Interview Questions Answers

• GitHub Community Discussions: In this repository, you will find categories for various product areas. Feel free to share feedback, discuss topics with other community members, or ask questions.
• Awesome Machine Learning: A curated list of awesome machine learning frameworks, libraries and software (by language).
• Machine Learning & Deep Learning Tutorials: This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources
• Best-of Machine Learning with Python: A ranked list of awesome machine learning Python libraries.
• TensorFlow Examples: This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2.
• Machine Learning Projects
• Randy Olson's data analysis and machine learning projects
• Minimum Viable Study Plan for Machine Learning Interviews

• MLOps-Basics
• MLOps Guide
• Awesome MLOps
• Awesome MLOps - Tools
• DTU MLOps
• MLOps Course

• Data Engineering Zoomcamp
• Data Engineering Cookbook
• How To Become a Data Engineer
• Awesome Data Engineering
• Data Engineering Roadmap
• Data Engineering Projects
• Data Engineering Interview Questions